OPINION MINING PADA KOMENTAR YOUTUBE MENGGUNAKAN ALGORITMA K-MEANS

BUSYRA, RAHMI FADILLAH and Primartha, Rifkie and Satria, Hadipurnawan (2018) OPINION MINING PADA KOMENTAR YOUTUBE MENGGUNAKAN ALGORITMA K-MEANS. Undergraduate thesis, Sriwijaya University.

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Abstract

Public opinion on YouTube video comments is a potential data source to find out public interest in a certain topic. Opinion Mining is a technique for processing and obtaining information from an opinion sentence. This research developed an Opinion Mining software using K-Means algorithm that could classify comments into three groups, those are positive, negative, and neutral. This study using word weighting technique and some corpus in preprocessing and weighting sentence. The results showed that the software was able to classify comments with 91% accuracy of the test results of 500 comments. This research can be developed better if there is an update corpus process for every sentence in the implementation.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Opinion Mining, Opinion, K-Means Algorithm
Subjects: T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions: Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Mrs Sri Astuti
Date Deposited: 13 Sep 2019 08:39
Last Modified: 13 Sep 2019 08:39
URI: http://repository.unsri.ac.id/id/eprint/7418

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